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Local Word Confidence Measure Using Word Graph and N-Best List

Identifieur interne : 005E06 ( Main/Merge ); précédent : 005E05; suivant : 005E07

Local Word Confidence Measure Using Word Graph and N-Best List

Auteurs : Joseph Razik ; Odile Mella ; Dominique Fohr ; Jean-Paul Haton [France]

Source :

RBID : CRIN:razik05a

English descriptors

Abstract

This paper presents some confidence measures for large vocabulary speech recognition which are based on word graph or N-Best List structures. More and more applications need fast estimation of any measures in order to stay real-time. We propose some simple and fast measures, locally computed, that can be directly used within the first decoding recognition process. We also define some other measures combining word graph and N-Best List. Experimental results on a French broadcast news corpus are also presented.

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CRIN:razik05a

Le document en format XML

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<name sortKey="Fohr, Dominique" sort="Fohr, Dominique" uniqKey="Fohr D" first="Dominique" last="Fohr">Dominique Fohr</name>
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<name sortKey="Haton, Jean Paul" sort="Haton, Jean Paul" uniqKey="Haton J" first="Jean-Paul" last="Haton">Jean-Paul Haton</name>
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<region type="region" nuts="2">Grand Est</region>
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<orgName type="laboratoire" n="5">Laboratoire lorrain de recherche en informatique et ses applications</orgName>
<orgName type="university">Université de Lorraine</orgName>
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<div type="abstract" xml:lang="en" wicri:score="343">This paper presents some confidence measures for large vocabulary speech recognition which are based on word graph or N-Best List structures. More and more applications need fast estimation of any measures in order to stay real-time. We propose some simple and fast measures, locally computed, that can be directly used within the first decoding recognition process. We also define some other measures combining word graph and N-Best List. Experimental results on a French broadcast news corpus are also presented.</div>
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   |area=    InforLorV4
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   |type=    RBID
   |clé=     CRIN:razik05a
   |texte=   Local Word Confidence Measure Using Word Graph and N-Best List
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